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Fixed effects and causal inference
Millimet, Daniel L.; Bellemare, Marc F. - 2023
Across many disciplines, the fixed effects estimator of linear panel data models is the default method to estimate … panel. We consider several alternatives to the fixed effects estimator with T > 2 when relevant unit-specific heterogeneity … results from multiple linear panel data estimators in applied research. …
Persistent link: https://www.econbiz.de/10014286978
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Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models
Baltagi, Badi H.; Pirotte, Alain; Yang, Zhenlin - 2020
three representative models: spatial cross-sectional, static or dynamic panel models. Monte Carlo results show that the …
Persistent link: https://www.econbiz.de/10012305035
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Robust standard errors in transformed likelihood estimation of dynamic panel data models
Hayakawa, Kazuhiko; Pesaran, M. Hashem - 2012
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …
Persistent link: https://www.econbiz.de/10009545313
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A time-space dynamic panel data model with spatial moving average errors
Baltagi, Badi H.; Fingleton, Bernard; Pirotte, Alain - 2018
This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel …
Persistent link: https://www.econbiz.de/10011872320
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Consistent estimation of panel data sample selection models
Baltagi, Badi H.; Jiménez-Martín, Sergi; Labeaga, José M. - 2023
The properties of classical panel data estimators including fixed effect, first-differences, random effects, and … generalized method of moments-instrumental variables estimators in both static as well as dynamic panel data models are …
Persistent link: https://www.econbiz.de/10014428011
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Synthetic difference-in-differences estimation
Clarke, Damian; Pailañir, Daniel; Athey, Susan; … - 2023
In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or...
Persistent link: https://www.econbiz.de/10013540490
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Embrace the noise : it is OK to ignore measurement error in a covariate, sometimes
Dong, Hao; Millimet, Daniel L. - 2023
In linear regression models, measurement error in a covariate causes Ordinary Least Squares (OLS) to be biased and inconsistent. Instrumental Variables (IV) is a common solution. While IV is also biased, it is consistent. Here, we undertake an asymptotic comparison of OLS and IV in the case...
Persistent link: https://www.econbiz.de/10014388449
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Testing weak cross-sectional dependence in large panels
Pesaran, M. Hashem - 2012
This paper considers testing the hypothesis that errors in a panel data model are weakly cross sectionally dependent … for values of α in the range [0, 1/4], for all combinations of N and T, and irrespective of whether the panel contains … cross-sectional dependence ; diagnostic tests ; panel data models ; dynamic heterogenous panels …
Persistent link: https://www.econbiz.de/10009534988
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Testing CAPM with a large number of assets
Pesaran, M. Hashem; Yamagata, Takashi - 2012
This paper is concerned with testing the time series implications of the capital asset pricing model (CAPM) due to Sharpe (1964) and Lintner (1965), when the number of securities, N, is large relative to the time dimension, T, of the return series. In the case of cross-sectionally correlated...
Persistent link: https://www.econbiz.de/10009535779
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The Romano-Wolf multiple hypothesis correction in Stata
Clarke, Damian; Romano, Joseph P.; Wolf, Michael - 2019
When considering multiple hypothesis tests simultaneously, standard statistical techniques will lead to over-rejection of null hypotheses unless the multiplicity of the testing framework is explicitly considered. In this paper we discuss the Romano-Wolf multiple hypothesis correction, and...
Persistent link: https://www.econbiz.de/10012147332